Simulation of the Dissipative Dynamics of Strongly Interacting NV Centers with Tensor Networks

TL;DR

This paper uses tensor network methods to simulate the complex dynamics of strongly interacting NV centers in diamond, providing insights into their potential for high-precision magnetic sensing.

Contribution

It introduces the application of the MPDO method for simulating open quantum systems with strong long-range interactions, benchmarking algorithms, and analyzing sensing capabilities.

Findings

MPDO accurately simulates NV ensemble dynamics

Strong interactions can enhance magnetic field sensitivity

Decoherence impacts the simulation accuracy

Abstract

NV centers in diamond are a promising platform for highly sensitive quantum sensors for magnetic fields and other physical quantities. The quest for high sensitivity combined with high spatial resolution leads naturally to dense ensembles of NV centers, and hence to strong, long-range interactions between them. Hence, simulating strongly interacting NVs becomes essential. However, obtaining the exact dynamics for a many-spin system is a challenging task due to the exponential scaling of the Hilbert space dimension, a problem that is exacerbated when the system is modelled as an open quantum system. In this work, we employ the Matrix Product Density Operator (MPDO) method to represent the many-body mixed state and to simulate the dynamics of an ensemble of NVs in the presence of strong long-range couplings due to dipole-dipole forces. We benchmark different time-evolution algorithms in terms of numerical accuracy and stability against time evolution based on exact numerical diagonalization. Subsequently, we simulate the dynamics in the strong interaction regime, and study the impact of decoherence on the accuracy of the MPDO method. Lastly, we investigate the dynamics of quantum Fisher information and discuss under what circumstances a strong interaction can improve sensitivity for magnetic field sensing.